Data Visualization Consultant Brief

Prepared by: [YOUR NAME]

1. Project Overview

The purpose of this brief is to outline the objectives, scope, and expectations of the data visualization project. Both parties must have a clear understanding and are aligned on these matters to facilitate clear communication and successful project outcomes.

Project Name: Data Visualization Project
Start Date: [DATE]
Estimated Completion Date: [DATE]
Project Sponsor: [NAME]

2. Project Objectives

The primary objective of this data visualization project is to create clear, impactful, and interactive visuals from [Company's Name] data which would improve decision-making processes and facilitate understanding of complex data sets.

3. Target Audience

This section identifies and provides an in-depth analysis of the target audience who would benefit from the data visualization. Identifying the audience will help in creating data visualizations tailored to their needs and preferences.

Audience	Detailed Description
Internal Team	Includes employees from different departments who need data visualization for strategic decision-making.
Stakeholders	Investors require visual presentations of data for a comprehensive understanding of the company's position and performance.

4. Deliverables

This defines the required outputs and outcomes after the data visualization project

Interactive dashboards
General and custom reports
Data visualization guidebook for the internal team
Data set analysis
Final project report

5. Project Scope

The scope details the project's boundaries, its inclusions, exclusions, and assumptions. It will set the framework for the extent of work that will be conducted in this data visualization project.

6. Roles and Responsibilities

A clear definition of roles and responsibilities will ensure the smooth running of the project, and that all necessary checkpoints are met. Each team member's role within the project will be defined clearly along with what is specifically expected of them.

Data Visualization Consultant: Responsible for designing and implementing efficient data visualization strategies; works with developers to ensure tools are customized according to user needs.
Data Analyst: Handles all aspects related to data -- from collection, processing, and analysis; provides insights that help in the visualization of data.
Project Manager: Oversees the entire project; ensures effective communication amongst team members and that objectives are met on time.